setup.py | 📦 A Human 's Ultimate Guide to setup.py
kandi X-RAY | setup.py Summary
kandi X-RAY | setup.py Summary
This repo exists to provide [an example setup.py] file, that can be used to bootstrap your next Python project. It includes some advanced patterns and best practices for setup.py, as well as some commented–out nice–to–haves. For example, this setup.py provides a $ python setup.py upload command, which creates a universal wheel (and sdist) and uploads your package to [PyPi] using [Twine], without the need for an annoying setup.cfg file. It also creates/uploads a new git tag, automatically. In short, setup.py files can be daunting to approach, when first starting out — even Guido has been heard saying, "everyone cargo cults thems". It’s true — so, I want this repo to be the best place to copy–paste from :).
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setup.py Key Features
setup.py Examples and Code Snippets
entry_points={
ML_AGENTS_STATS_WRITER: [
"example=mlagents_plugin_examples.example_stats_writer:get_example_stats_writer"
]
}
config.add_library('library',
sources=[...],
config_fc={'noopt':(__file__,1)})
Community Discussions
Trending Discussions on setup.py
QUESTION
I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying
...ANSWER
Answered 2022-Jan-02 at 09:59I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.
QUESTION
When a project is specified only via pyproject.toml
(i.e. no setup.{py,cfg}
files), how can it be installed in editable mode via pip
(i.e. python -m pip install -e .
)?
I tried both setuptools
and poetry
for the build system, but neither worked:
ANSWER
Answered 2022-Mar-19 at 23:06PEP 660 – Editable installs for pyproject.toml based builds defines how to build projects that only use pyproject.toml
. Build tools must implement PEP 660 for editable installs to work. You need a front-end (such as pip ≥ 21.3), backend. The statuses of some popular backends are:
QUESTION
version pip 21.2.4 python 3.6
The command:
...ANSWER
Answered 2021-Nov-19 at 13:30It looks like setuptools>=58
breaks support for use_2to3
:
So you should update setuptools
to setuptools<58
or avoid using packages with use_2to3
in the setup parameters.
I was having the same problem, pip==19.3.1
QUESTION
It is my understanding that NumPy dropped support for using the Accelerate BLAS and LAPACK at version 1.20.0. According to the release notes for NumPy 1.21.1, these bugs have been resolved and building NumPy from source using the Accelerate framework on MacOS >= 11.3 is now possible again: https://numpy.org/doc/stable/release/1.21.0-notes.html, but I cannot find any documentation on how to do so. This seems like it would be an interesting thing to try and do because the Accelerate framework is supposed to be highly-optimized for M-series processors. I imagine the process is something like this:
- Download numpy source code folder and navigate to this folder.
- Make a
site.cfg
file that looks something like:
ANSWER
Answered 2021-Nov-07 at 03:12I actually attempted this earlier today and these are the steps I used:
- In the
site.cfg
file, put
QUESTION
I get this Error when I try to install Pyodbc , I have already install visual studio and I have Microsoft Visual C++ 12 , 15-19 in my machine but still its giving this error.
...ANSWER
Answered 2021-Nov-12 at 13:38The current release of pyodbc (4.0.32) does not have pre-built wheel files for Python 3.10. The easiest way to get it installed at the moment is to download the appropriate wheel from
https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyodbc
and then install it. For example, if you are running 64-bit Python then you would download the 64-bit wheel and use
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I honestly can't figure out what is happening with this error. I thought it was something in my manifest file but apparently it's not.
Note, this directory is in my Google Drive.
Here is my MANIFEST.in
file:
ANSWER
Answered 2022-Feb-07 at 15:14there are a few symptoms I would like to suggest looking into:
- There is a WARNING in your error log
SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools
. You haveMANIFEST.in
,setup.py
andsetup.cfg
probably conflicting between them. Becausesetup.py
is the build script for setuptools. It tellssetuptools
about your package (such as the name and version) as well as which code files to include. Also, An existing generated MANIFEST will be regenerated without sdist comparing its modification time to the one of MANIFEST.in or setup.py, as explained here.
Please refer to Building and Distributing Packages with Setuptools, also Configuring setup() using setup.cfg files and Quickstart for more information
- Maybe not so important, but another thing worth looking into is the fact that there are 2 different python distributions being used at different stages, as Python 3.10 is used at:
Using pip 22.0.2 from $PREFIX/lib/python3.10/site-packages/pip (python 3.10)
(it is also in your conda dependencies) and Python 3.8 is used at:File "/Users/jespinoz/anaconda3/lib/python3.8/site-packages/conda_build/tarcheck.py", line 53, in info_files raise Exception('info/files')
which is where the error happens. So maybe another configuration conflict related to this.
QUESTION
I just did a fresh install of windows to clean up my computer, moved everything over to my D drive and installed Python through Windows Store (somehow it defaulted to my C drive, so I left it there because Pycharm was getting confused about its location), now I'm trying to pip install the python-docx module for the first time and I'm stuck. I have a recent version of Microsoft C++ Visual Build Tools installed. Excuse me for any irrelevant information I provided, just wishing to be thorough. Here's what's returning in command:
...ANSWER
Answered 2022-Feb-06 at 17:04One of the dependencies for python-docx
is lxml
. The latest stable version of lxml
is 4.6.3, released on March 21, 2021. On PyPI there is no lxml wheel for 3.10, yet. So it try to compile from source and for that Microsoft Visual C++ 14.0 or greater is required, as stated in the error.
However you can manually install lxml
, before install python-docx
. Download and install unofficial binary from Gohlke
Alternatively you can use pipwin to install it from Gohlke. Note there may still be problems with dependencies for lxml
.
Of course, you can also downgrade to python3.9.
EDIT: As of 14 Dec 2021 the latest lxml version 4.7.1 supports python 3.10
QUESTION
Error while installing manimce, I have been trying to install manimce library on windows subsystem for linux and after running
...ANSWER
Answered 2022-Jan-28 at 02:24apt-get install sox ffmpeg libcairo2 libcairo2-dev
apt-get install texlive-full
pip3 install manimlib # or pip install manimlib
QUESTION
I'm working on CI for my Python + Django project. I have to use the python:3.9-alpine
image. A weird error is popping in my CI pipelines:
ANSWER
Answered 2021-Dec-05 at 17:35What is the reason of my error?
Did you read my previous answer to a similar question of yours? The last part warns about certain combinations of Alpine + Python and this seems to be happening right now.
I tried to replace psycopg2 with psycopg2-binary but have the same error
The problem here might be a python library that has dependencies on gcc
, which is not shipped on alpine by default.
Try replacing this:
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Install setup.py
You can use setup.py like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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